--- title: "Run Qwen3.6 27B 2x Faster on M5 Max — Native MTP on Apple Silicon" url: https://daily.dev/posts/run-qwen3-6-27b-2x-faster-on-m5-max-native-mtp-on-apple-silicon-zy2ysw33e source_url: https://www.youtube.com/watch?v=Bd0q3cOWY90 type: video:youtube source: "Execute Automation" published: 2026-05-31T07:48:15.384Z updated: 2026-05-31T09:11:26.140Z tags: ["ai-inference", "local-ai"] reading_time: 14 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Run Qwen3.6 27B 2x Faster on M5 Max — Native MTP on Apple Silicon **[Execute Automation](https://daily.dev/sources/executeautomation)** · 14 min read · 0 upvotes · 0 comments ## Summary A walkthrough demonstrating how to use MTP LX (Multi-Token Prediction for Apple MLX) to achieve roughly 2x faster local LLM inference on Apple Silicon machines. The tutorial covers the mechanics of multi-token prediction and speculative decoding, explains why standard autoregressive inference underutilizes GPU compute, and shows a practical comparison running Qwen3.6 27B dense model with and without MTP enabled. Results show token generation jumping from ~17 tokens/sec to ~48 tokens/sec, with first-token latency dropping from 0.59s to 0.25s. Installation is via Homebrew and the tool includes a web UI and integration with coding agents like Pyi. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#ai-inference](https://daily.dev/tags/ai-inference), [#local-ai](https://daily.dev/tags/local-ai) [View this post on daily.dev](https://daily.dev/posts/run-qwen3-6-27b-2x-faster-on-m5-max-native-mtp-on-apple-silicon-zy2ysw33e)